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Bayesian smoothing and regression fo...
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Fahrmeir, L.
Bayesian smoothing and regression for longitudinal, spatial and event history data[electronic resource] /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
519.5'36
書名/作者:
Bayesian smoothing and regression for longitudinal, spatial and event history data/ Ludwig Fahrmeir, Thomas Kneib.
作者:
Fahrmeir, L.
其他作者:
Kneib, Thomas.
出版者:
Oxford : : Oxford University Press,, 2011.
面頁冊數:
1 online resource (xviii, 521 p.) : : ill., maps.
標題:
Regression analysis.
標題:
Bayesian statistical decision theory.
標題:
Smoothing (Statistics)
ISBN:
9780191728501 (ebook) :
ISBN:
0191728500 (ebook) :
書目註:
Includes bibliographical references and index.
摘要、提要註:
Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing.
電子資源:
http://dx.doi.org/10.1093/acprof
:oso/9780199533022.001.0001
Bayesian smoothing and regression for longitudinal, spatial and event history data[electronic resource] /
Fahrmeir, L.
Bayesian smoothing and regression for longitudinal, spatial and event history data
[electronic resource] /Ludwig Fahrmeir, Thomas Kneib. - Oxford :Oxford University Press,2011. - 1 online resource (xviii, 521 p.) :ill., maps. - Oxford statistical science series ;no. 36. - Oxford statistical science series ;no. 36..
Includes bibliographical references and index.
Bringing together recent advances in smoothing and semiparametric regression from a Bayesian perspective, this book demonstrates, with worked examples, the application of these statistical methods to a variety of fields including forestry development economics, medicine and marketing.
ISBN: 9780191728501 (ebook) :No priceSubjects--Topical Terms:
186625
Regression analysis.
LC Class. No.: QA278.2
Dewey Class. No.: 519.5'36
Bayesian smoothing and regression for longitudinal, spatial and event history data[electronic resource] /
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http://dx.doi.org/10.1093/acprof:oso/9780199533022.001.0001
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